• Working in the Portfolio Squad handling payments to generate tokens and credits for our IOT based devices being used by millions of our customers in Africa• Following Test Driven Development to ensure Software reliability and quality• Working with Product team to discuss quarterly goals of the squad

• Worked on Recovery CRM for Zameen's owned Projects• Worked extensively with the Product and Design team to identify bugs and improvements and proposed changes to improve customer experience• Formulated strategies with the Product Team for future releases, prioritising features in backlog• Enabled Recovery of more than 30Million USD through our Recovery System• Explored performance metrics to identify bottlenecks in the system• Worked with the Support team to propose strategies to empower them to handle data and configuration fixes

• Worked in the backend team for our multi-tenant ROR and REACT based application to manage car Auctions and Management for Clients like OLX, Kaidee and Dubizzle• Created Dashboard Module using Elasticsearch and Ruby to allow dynamic dashboard creation• Worked with Cancan to manage permissions for our in-house multi-tenant CRM• Coordinated with product and front end teams for rapid delivery of new features

• Explored legacy codebase written in .NET and C# to work on existing bugs• Worked with Active Directory Solutions provided by Imanami• Worked on ElasticSearch to understand underlying architecture to optimise performance

• Analysed healthcare datasets to generate insightful dashboards• Generated AI models to perform fraud detection on Insurance claims• Utilised AWS for model training

• Researched Big Data Frameworks to enable distributed training of pre-build machine learning models• Translated pre built machine learning pipeline to Apache Spark’s modules to carry out training and testing in a distributed fashion• Improved data pre processing pipelines to improve models accuracy• Utilized AWS elastic map reduce for faster training on large datasets by utilizing computing power of a cluster of EC2 machines• Utilized design patterns to reflect pycaret’s module structure in our pre-existing design